Mary Mullusky
Impact in
- Atmospheric Science top 10%
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Global and Planetary Change top 10%
- Climate variability and models
- Flood Risk Assessment and Management
- Hydrology and Drought Analysis
Papers in
-
- Hydrology and Watershed Management Studies 4
-
- Precipitation Measurement and Analysis 2
- Meteorological Phenomena and Simulations 2
- Co-authors
- Aris P. Georgakakos (1 shared paper)Huaming Yao (1 shared paper)Konstantine P. Georgakakos (1 shared paper)Henry E. Fuelberg (1 shared paper)Dong-Jun Seo (1 shared paper)David Kitzmiller (1 shared paper)Witold F. Krajewski (1 shared paper)Robert M. Rabin (1 shared paper)
- Journals
- Bulletin of the American Meteorological Society (2 papers)Weather and Forecasting (1 paper)Water Resources Research (1 paper)AGU Spring Meeting Abstracts (1 paper)
- Partner nations
- United States
In The Last Decade
Mary Mullusky
5 papers receiving 225 citations
Peers
Comparison fields: 5 of 23
- Atmospheric Science 189
- Global and Planetary Change 158
- Water Science and Technology 95
- Environmental Engineering 77
- Ocean Engineering 31
Countries citing papers authored by Mary Mullusky
This map shows the geographic impact of Mary Mullusky's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mary Mullusky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Mullusky more than expected).
Fields of papers citing papers by Mary Mullusky
This network shows the impact of papers produced by Mary Mullusky. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mary Mullusky. The network helps show where Mary Mullusky may publish in the future.
Co-authors
The 23 scholars most cited alongside Mary Mullusky, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 103 | |
| 2 | 1998 | 58 | |
| 3 | 2001 | 55 | |
| 4 | 2008 | 33 | |
| 5 | Ensemble Streamflow Prediction by the National Weather Service (NWS) Advanced Hydrologic Prediction Services (AHPS) | 2004 | 3 |
About Mary Mullusky
Mary Mullusky is a scholar working on Water Science and Technology, Atmospheric Science, Environmental Engineering, Global and Planetary Change and Ocean Engineering, having authored 5 papers that have together received 252 indexed citations. Recurring topics across this work include Hydrology and Watershed Management Studies (4 papers), Precipitation Measurement and Analysis (2 papers), Meteorological Phenomena and Simulations (2 papers), Hydrological Forecasting Using AI (2 papers), Flood Risk Assessment and Management (2 papers), Water resources management and optimization (1 paper) and Reservoir Engineering and Simulation Methods (1 paper). The work is most often cited by research in Atmospheric Science (189 citations), Global and Planetary Change (158 citations), Water Science and Technology (95 citations), Environmental Engineering (77 citations) and Ocean Engineering (31 citations). Mary Mullusky has collaborated with scholars based in United States. Frequent co-authors include Aris P. Georgakakos, Huaming Yao, Konstantine P. Georgakakos, Henry E. Fuelberg, Dong-Jun Seo, David Kitzmiller, Witold F. Krajewski, Robert M. Rabin, Kenneth W. Howard and Jian Zhang. Their work appears in journals such as Bulletin of the American Meteorological Society, Weather and Forecasting, Water Resources Research and AGU Spring Meeting Abstracts.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.